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Populus euphratica forest spring inchworm disease monitoring method based on hyperspectral remote sensing

A hyperspectral remote sensing and spring inchworm technology, which is applied in color/spectral characteristic measurement, instrument, character and pattern recognition, etc., can solve the problems of untimely warning of Populus euphratica disaster, no prediction and effective monitoring of Populus euphratica disaster degree, hazards of Populus euphratica forest, etc. question

Active Publication Date: 2018-10-23
黄铁成
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention provides a hyperspectral remote sensing-based method for monitoring spring inchworm disasters in Populus euphratica groves, which overcomes the above-mentioned deficiencies in the prior art, and can effectively solve the problem that there is no method for predicting and effectively monitoring the degree of damage of Populus euphratica in the prior art. Populus euphratica forest worm disaster warning is not timely, causing serious harm to Populus euphratica forest

Method used

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  • Populus euphratica forest spring inchworm disease monitoring method based on hyperspectral remote sensing
  • Populus euphratica forest spring inchworm disease monitoring method based on hyperspectral remote sensing
  • Populus euphratica forest spring inchworm disease monitoring method based on hyperspectral remote sensing

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Embodiment 1

[0044] Example 1: As attached figure 1 As shown, the Populus euphratica forest spring geometrid disaster monitoring method based on hyperspectral remote sensing includes the following steps:

[0045] The first step is to perform spectral measurement on the sample wood with a spectrometer to obtain the ground hyperspectral data of all Populus euphratica in the monitoring area, and then enter the second step;

[0046] The second step is to process the ground hyperspectral data of the healthy Populus euphratica and the victim Populus euphratica respectively, and then proceed to the third step;

[0047] The third step is to analyze the characteristics of Populus euphratica's ground hyperspectrum, analyze the relationship between the damage degree of Populus euphratica and the red edge characteristic parameters of Populus euphratica, and use the red edge effect to monitor the disaster degree of Populus euphratica forest. Then proceed to the fourth step. ;

[0048] The fourth step is to co...

Embodiment 2

[0080] Example 2: Such as figure 2 , image 3 As shown, the analysis process of the original spectral characteristics of Populus euphratica forest, such as the spectral reflectance curves of Populus euphratica with different degrees of damage, from figure 2 It can be seen that in the visible spectrum, the spectral reflectance of healthy Populus euphratica is in the blue and red wavelength bands centered at 450nm and 680nm due to the strong absorption of pigments, forming absorption valleys, which are called blue valleys and red valleys. The rate is less than 10%; in the area between the two absorption valleys, the absorption is relatively weakened, and a green reflection peak is formed near 550nm, called the green peak, and the reflectance is about 0.1 to 0.2. With the aggravation of the hazard of the spring inchworm, the spectra of Populus euphratica under different hazards have obvious differences. The specific manifestation is that the green peaks and red valleys in the gree...

Embodiment 3

[0082] Example 3: Such as Figure 4 As shown, analyze the relationship between the degree of harm of the spring inchworm and the spectral reflectance, Figure 4 It is the correlation diagram between the damage degree of Populus euphratica and the spectral reflectance. The horizontal axis is the wavelength and the vertical axis is the correlation coefficient. Figure 4 It shows that the reflectance of Populus euphratica with different hazard levels and their hazard levels have significant differences at different wavelengths. The wavelength range from 620nm to 690nm shows a very significant positive correlation, which can be used as the characteristic band of the hazard level of spring inchworms. After the wavelength is 710nm, the correlation There is a very significant negative correlation. The main reason is that the red edge slope of the spectral reflectance decreases after the leaves are damaged. In the near-infrared region, the correlation curve between the damage degree of t...

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Abstract

The invention relates to the technical field of forestry pest and disease monitoring, and relates to a populus euphratica forest spring inchworm disease monitoring method based on hyperspectral remotesensing. The method comprises the following steps: the first step, performing spectrometry on sample trees by a spectrometer to obtain ground hyperspectral data of all plants in the monitoring area,the second step, respectively processing the ground hyperspectral data of the healthy plants and the damaged plants obtained, the third step, performing characteristic analysis on the populus euphratica spectrum, and monitoring the populus euphratica forest spring inchworm disease degree by using the red edge effect, the fourth step, establishing a populus euphratica forest spring inchworm diseasemonitoring model based on the red edge characteristic parameter, and the fifth step, inputting the Hyperion data of the area to be monitored into the populus euphratica forest spring inchworm diseasemonitoring model based on the red edge characteristic parameter. The research of the method clarifies the remote sensing spectral information characteristic of populus euphratica under the influenceof spring locust pest stress, and provides a theoretical basis for exploring the extraction technology of populus euphratica forest spring inchworm disease information and developing a practical remote sensing dynamic monitoring technology.

Description

Technical field [0001] The invention relates to the technical field of forestry disease and insect pest monitoring, and is a method for monitoring the Populus euphratica forest spring geometrid disaster based on hyperspectral remote sensing. Background technique [0002] Populus euphratica is a kind of desert riparian forest that grows under humid conditions such as river banks and lakes. Its unique physiological structure enables it to survive in harsh environments of saline-alkali, windy sand and aridity. It is a near-top natural tree community in arid desert areas. It is an important part of the desert ecosystem, and plays an important ecological function in maintaining the ecological balance of the desert area, preventing wind and sand fixation, regulating the climate, and improving the ecological environment. In the past 50 years, due to man-made destruction and climate change, natural Populus euphratica forests have declined on a large scale, the ecosystem has been severely...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/20G06K9/44G01N21/31
CPCG01N21/31G06V20/194G06V20/13G06V10/143G06V10/34
Inventor 黄铁成陈孟禹贾翔来风兵陈蜀江庄宇姣
Owner 黄铁成
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